from datetime import datetime

from sqlalchemy import (
    JSON,
    TIMESTAMP,
    ForeignKey,
    Integer,
    Numeric,
    SmallInteger,
    String,
    Text,
    func,
)
from sqlalchemy.orm import Mapped, mapped_column

from vmk_data_collector.db.base import Base


class AiEnrichment(Base):
    __tablename__ = "ai_enrichments"

    id: Mapped[int] = mapped_column(Integer, primary_key=True)
    property_id: Mapped[int] = mapped_column(
        ForeignKey("property_listings.id", ondelete="CASCADE"),
        nullable=False,
        unique=True,
    )
    extracted_features: Mapped[dict] = mapped_column(JSON, default=dict)
    price_assessment: Mapped[dict] = mapped_column(JSON, default=dict)
    listing_quality_score: Mapped[int | None] = mapped_column(SmallInteger)
    reliability_rating: Mapped[int | None] = mapped_column(SmallInteger)
    sentiment_score: Mapped[float | None] = mapped_column(Numeric(3, 2))
    classification: Mapped[str | None] = mapped_column(String(64))
    image_analysis_results: Mapped[dict] = mapped_column(JSON, default=dict)
    generated_description: Mapped[str | None] = mapped_column(Text)
    summary: Mapped[str | None] = mapped_column(Text)
    model_version: Mapped[str | None] = mapped_column(String(64))
    processing_time_ms: Mapped[int | None] = mapped_column(Integer)
    created_at: Mapped[datetime] = mapped_column(
        TIMESTAMP(timezone=True), server_default=func.now()
    )